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Embedded ML Engineer (H/F) Job Opening In Toulouse – Now Hiring autonomous-teaming


Job description

Your mission

  • Optimize deep neural networks for real-time inference on embedded devices (Jetson, FPGA, custom boards)
  • Apply quantization, pruning, distillation, and compression techniques for efficient deployment
  • Use TensorRT, CUDA, C++ to convert and compile networks for runtime use
  • Develop ROS nodes and interfaces to connect perception modules with the broader robotic system
  • Collaborate with perception and ML teams to bring cutting-edge research to edge hardware
  • Ensure runtime robustness under extreme constraints (power, bandwidth, latency)
  • Implement benchmarks, debug runtime issues, and validate performance against real-world use cases

Your profile

Must have

  • Strong experience in CUDA and C++
  • Hands-on work with TensorRT, ONNX, TVM or similar compilers/toolchains
  • Proven experience in quantization, model pruning, or distillation
  • Understanding of hardware constraints on Jetson, ARM, GPU or embedded systems
  • Familiar with PyTorch, Python, Git, and Linux environments
Nice to have
  • Experience deploying ML models in ROS environments
  • Exposure to custom accelerators or hardware-specific toolchains
  • Knowledge of runtime profiling, latency debugging, and performance benchmarking
  • Experience in aerospace, automotive, or defense
Meta
  • Outside of the box creativity, conceptional & systematic design thinking, disciplined execution
  • Servant leader mindset, placing team success over ego
  • Highest moral standards and work ethic
  • We value extra-curricular responsibilities and achievements in your biography
  • Intrinsic motivation, willing to go the extra mile, attention to detail
  • Fluent in English
  • Nationality of a NATO member nation or close ally is a must
  • Successful candidates will be required to obtain security clearance

Why us?

Join us to shape the future of AI-driven defense!

Do you feel that you fit the description, but don't think you fulfill all the criteria 100%?

Apply to us anyway.

 
We look forward to receiving your detailed application via our online form.

 

The world is changing.

Exponential technologies are enabling new types of security threats.

We are committed to staying ahead by building nimble, scalable, and cost-effective defences.

We are looking for passionate developers who are eager to create exceptional products, safeguard our freedom, and strengthen the resilience of democracies.

About us

We are a defence-tech start-up specializing in machine vision solutions.

If you have a passion for cutting-edge innovation, and drive to use your skills to create next generation solutions, this is an opportunity for you!

What we do: We are developing solutions that enable computers and sensors to collaborate as teams, working together to address emerging security challenges.

Our primary mission is to defend against AI-powered asymmetric threats at scale, such as drone swarms and other UXVs.

Who we are: Based in Munich, Berlin and Bordeaux/Toulouse we are rapidly expanding across Europe with plans to open more office hubs soon.

We embrace a hybrid work culture - valuing the collaborations that happens in the office, while also empowering our team members to work remotely with responsibility and autonomy.



 



Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Embedded ML Potential: Insight & Career Growth Guide


Real-time Embedded ML Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Embedded ML in Toulouse, France, highlighting market share and opportunities for professionals in Embedded ML roles.

110 Jobs in France
110
7 Jobs in Toulouse
7
Download Embedded Ml Jobs Trends in Toulouse and France

Are You Looking for Embedded ML Engineer (H/F) Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at autonomous-teaming adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying France laws and regulations

What Is the Average Salary Range for Embedded ML Engineer (H/F) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Toulouse. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Embedded ML Engineer (H/F) typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Embedded ML Engineer (H/F) Job Success

autonomous-teaming interview tips for Embedded ML Engineer (H/F)

Here are some tips to help you prepare for and ace your Embedded ML Engineer (H/F) job interview:

Before the Interview:

Research: Learn about the autonomous-teaming's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Embedded ML Engineer (H/F) interview at autonomous-teaming, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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